WO2016183329A1 - System and method for determining drill string motions using acceleration data - Google Patents
System and method for determining drill string motions using acceleration data Download PDFInfo
- Publication number
- WO2016183329A1 WO2016183329A1 PCT/US2016/032118 US2016032118W WO2016183329A1 WO 2016183329 A1 WO2016183329 A1 WO 2016183329A1 US 2016032118 W US2016032118 W US 2016032118W WO 2016183329 A1 WO2016183329 A1 WO 2016183329A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- acceleration
- drill
- coordinate frame
- acceleration data
- mapping
- Prior art date
Links
- 230000001133 acceleration Effects 0.000 title claims abstract description 99
- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000033001 locomotion Effects 0.000 title abstract description 37
- 238000005553 drilling Methods 0.000 claims abstract description 37
- 230000004064 dysfunction Effects 0.000 claims abstract description 31
- 238000013507 mapping Methods 0.000 claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 4
- 239000013598 vector Substances 0.000 claims description 14
- 238000005259 measurement Methods 0.000 claims description 9
- 230000001131 transforming effect Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 claims description 2
- 238000012800 visualization Methods 0.000 abstract description 5
- 238000005457 optimization Methods 0.000 abstract description 2
- 230000002123 temporal effect Effects 0.000 abstract description 2
- 238000004891 communication Methods 0.000 description 15
- 238000012545 processing Methods 0.000 description 9
- 230000001413 cellular effect Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 239000004215 Carbon black (E152) Substances 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 229930195733 hydrocarbon Natural products 0.000 description 2
- 150000002430 hydrocarbons Chemical class 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 230000035939 shock Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- GVVPGTZRZFNKDS-JXMROGBWSA-N geranyl diphosphate Chemical compound CC(C)=CCC\C(C)=C\CO[P@](O)(=O)OP(O)(O)=O GVVPGTZRZFNKDS-JXMROGBWSA-N 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000000116 mitigating effect Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000003381 stabilizer Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/09—Locating or determining the position of objects in boreholes or wells, e.g. the position of an extending arm; Identifying the free or blocked portions of pipes
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
Definitions
- the present disclosure relates in general to the field of hydrocarbon drilling. More particularly, but not by way of limitation, embodiments of the present invention relate to a system and method transforming acceleration data to drill-string motions related to drilling dysfunctions.
- Hydrocarbon reservoirs are developed with drilling operations using a drill bit associated with a drill string rotated from the surface or using a downhole motor, or both using a downhole motor and also rotating the string from the surface.
- a bottom hole assembly (BHA) at the end of the drill string may include components such as drill collars, stabilizers, drilling motors and logging tools, and measuring tools.
- a BHA is also capable of telemetering various drilling and geological parameters to the surface facilities.
- Resistance encountered by the drill string in a wellbore during drilling causes significant wear on the drill string, especially the drill bit and the BHA. Understanding how the geometry of the wellbore affects resistance on the drill string and the BHA and managing the dynamic conditions that lead potentially to failure of downhole equipment is important for enhancing efficiency and minimizing costs for drilling wells.
- drilling dysfunctions that may lead to component failure include excessive torque, shocks, bit bounce, induced vibrations, bit whirl, stick-slip, among others. These conditions must be rapidly detected so that mitigation efforts are undertaken as quickly as possible, since some dysfunctions can quickly lead to tool failures.
- Tri-axial accelerometers have been widely used in the drilling industry to measure three orthogonal accelerations related to shock and vibration during drilling operations.
- the magnitudes of the acceleration data provide a qualitative evaluation of the extent of the drill string vibration.
- the acceleration data combined with other information are typically used in the industry to produce a qualitative drilling risk index.
- the analyses of the three orthogonal accelerations typically indicate the amount of the vibration during drilling operations. It does not provide any insight how the drill string moves around the borehole. Therefore, there is a need to transform the three orthogonal accelerations into actual motions of the drill string, providing a 2D/3D visualization how the drill string deviates from the ideal drilling condition.
- the drill-string motions aid to rapidly identify drilling dysfunctions and to mitigate dysfunctions during drilling operations.
- the present disclosure addresses limitations in the art by providing a system and method for mapping three orthogonal accelerations into motions of the drill string, providing a 2D/3D visualization of how the drill string deviates from the ideal drilling condition. Since the drilling vibration causes the drill string to deviate from ideal, uniform circular rotations, the mapping of the non-uniform rotations of the drill string leads to a better understanding of the dynamics of drill- string dysfunctions.
- the present invention calls for using measured acceleration data to map the positions of drill-string motions continuously and produces various attributes to quantify the drilling dysfunctions. 2D and 3D visualizations of various dysfunction attributes describes how the vibration affects the drill-string motions. When combined with other information, it may be used to reduce drilling vibration.
- the present invention enables the development of efficient and robust workflows for controlling and optimizing well drilling operations in real time. Dysfunctions are critical for proactively detecting events that may lead to equipment failures. In the particular case of real time drilling, results should aid at improving rate of penetration and minimizing well bit failures. Extensions of the present invention could be oriented to impact any automated activity that require an efficient way to determine dysfunctions in real time signals as produced by sensors, satellite and other mobile devices.
- Implementations of the present invention can include one or more of the following features: the method may further identify dysfunctions for detecting equipment failure; such equipment may comprise drilling equipment; the signal data comprises acceleration data; the acceleration data may be translated from a local moving coordinate frame to a global stationary coordinate frame; the vector cross product of radial acceleration and axial accelerations can estimate the tangential acceleration; the vector cross product of tangential acceleration and axial accelerations can estimate the radial acceleration; the vector cross product of radial acceleration and tangential accelerations can estimate the axial acceleration; the signal may include: axial vibration, down- hole RPM, down-hole torque, gravitational acceleration, centripetal acceleration, radial acceleration, tangential acceleration, distance from surface, surface RPM, surface torque, hole depth, and rig state; one or more said signals are obtained from one or more downhole tri-axial accelerometers; and the mapping may be provided in 3D view or a planar (2D) view.
- FIG. 1 depicts a vector representation of circular drill-string positions.
- FIG. 2 depicts a transformation of acceleration data from a local moving coordinate frame to a global stationary coordinate frame.
- FIG. 3 depicts exemplary input data (Permian ISUB) to be used in computing the drill- string motions.
- Data channel 1 represents axial vibration; data channels 3 and 4 represent the polar coordinates of the radial and tangential vibrations.
- FIG. 4 depicts a 3D view of the drill-string motions of the first 500 points (Permian ISUB). Lines with circles are ideal drill-string motions, without dysfunction; lines with exes are actual drill-string motions, with drilling dysfunction.
- FIG. 5 depicts a map view of the drill-string motions of the first 500 points (Permian ISUB). Lines with circles are ideal drill-string motions, without dysfunction; lines with exes are actual drill-string motions, with drilling dysfunction.
- FIG. 6 depicts exemplary input data (A4 well data) to be used in computing the drill-string motions.
- Data channel 1 represents axial vibration and data channel 2 represents the radial vibration.
- FIG. 7 depicts a 3D view of the drill-string motions of the first 500 points (A4 well data). Lines with circles are ideal drill-string motions, without dysfunction; lines with exes are actual drill-string motions, with drilling dysfunction.
- FIG. 8 depicts a map view of the drill-string motions of the first 500 points (A4 well data). Lines with circles are ideal drill-string motions, without dysfunction; lines with exes are actual drill-string motions, with drilling dysfunction.
- These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, ASIC, or other programmable data processing apparatus, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implement the functions/acts specified in the block diagrams or operational block or blocks.
- the functions/acts noted in the blocks can occur out of the order noted in the operational illustrations. For example, two blocks shown in succession can in fact be executed substantially concurrently or the blocks can sometimes be executed in the reverse order, depending upon the functionality/acts involved.
- These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, ASIC, or other programmable data processing apparatus, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implement the functions/acts specified in the block diagrams or operational block or blocks.
- server should be understood to refer to a service point which provides processing, database, and communication facilities.
- server can refer to a single, physical processor with associated communications and data storage and database facilities, or it can refer to a networked or clustered complex of processors and associated network and storage devices, as well as operating software and one or more database systems and application software that support the services provided by the server.
- Servers may vary widely in configuration or capabilities, but generally a server may include one or more central processing units and memory.
- a server may also include one or more mass storage devices, one or more power supplies, one or more wired or wireless network interfaces, one or more input/output interfaces, or one or more operating systems, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, or the like.
- a computer readable medium stores computer data, which data can include computer program code (or computer-executable instructions) that is executable by a computer, in machine readable form.
- a computer readable medium may comprise computer readable storage media, for tangible or fixed storage of data, or communication media for transient interpretation of code-containing signals.
- Computer readable storage media refers to physical or tangible storage (as opposed to signals) and includes without limitation volatile and non-volatile, removable and non-removable media implemented in any method or technology for the tangible storage of information such as computer-readable instructions, data structures, program modules or other data.
- Computer readable storage media includes, but is not limited to, RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD- ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other physical or material medium which can be used to tangibly store the desired information or data or instructions and which can be accessed by a computer or processor.
- a "network” should be understood to refer to a network that may couple devices so that communications may be exchanged, such as between a server and a client device or other types of devices, including between wireless devices coupled via a wireless network, for example.
- a network may also include mass storage, such as network attached storage (NAS), a storage area network (SAN), or other forms of computer or machine readable media, for example.
- a network may include the Internet, one or more local area networks (LANs), one or more wide area networks (WANs), wire-line type connections, wireless type connections, cellular or any combination thereof.
- sub-networks which may employ differing architectures or may be compliant or compatible with differing protocols, may interoperate within a larger network.
- Various types of devices may, for example, be made available to provide an interoperable capability for differing architectures or protocols.
- a router may provide a link between otherwise separate and independent LANs.
- a communication link or channel may include, for example, analog telephone lines, such as a twisted wire pair, a coaxial cable, full or fractional digital lines including Tl, T2, T3, or T4 type lines, Integrated Services Digital Networks (ISDNs), Digital Subscriber Lines (DSLs), wireless links including satellite links, or other communication links or channels, such as may be known to those skilled in the art.
- ISDNs Integrated Services Digital Networks
- DSLs Digital Subscriber Lines
- wireless links including satellite links, or other communication links or channels, such as may be known to those skilled in the art.
- a computing device or other related electronic devices may be remotely coupled to a network, such as via a telephone line or link, for example.
- a "wireless network” should be understood to couple client devices with a network.
- a wireless network may employ stand-alone ad-hoc networks, mesh networks, Wireless LAN (WLAN) networks, cellular networks, or the like.
- a wireless network may further include a system of terminals, gateways, routers, or the like coupled by wireless radio links, or the like, which may move freely, randomly or organize themselves arbitrarily, such that network topology may change, at times even rapidly.
- a wireless network may further employ a plurality of network access technologies, including Long Term Evolution (LTE), WLAN, Wireless Router (WR) mesh, or 2nd, 3rd, or 4th generation (2G, 3G, or 4G) cellular technology, or the like.
- Network access technologies may enable wide area coverage for devices, such as client devices with varying degrees of mobility, for example.
- a network may enable RF or wireless type communication via one or more network access technologies, such as Global System for Mobile communication (GSM), Universal Mobile Telecommunications System (UMTS), General Packet Radio Services (GPRS), Enhanced Data GSM Environment (EDGE), 3 GPP Long Term Evolution (LTE), LTE Advanced, Wideband Code Division Multiple Access (WCDMA), North American/CEPT frequencies, radio frequencies, single sideband, radiotelegraphy, radioteletype (RTTY), Bluetooth, 802.11b/g/n, or the like.
- GSM Global System for Mobile communication
- UMTS Universal Mobile Telecommunications System
- GPRS General Packet Radio Services
- EDGE Enhanced Data GSM Environment
- LTE Long Term Evolution
- LTE Advanced Long Term Evolution
- WCDMA Wideband Code Division Multiple Access
- RTTY radioteletype
- Bluetooth 802.11b/g/n, or the like.
- a wireless network may include virtually any type of wireless communication mechanism by which signals may be communicated between devices, such as a client device or a computing device
- a computing device may be capable of sending or receiving signals, such as via a wired or wireless network, or may be capable of processing or storing signals, such as in memory as physical memory states, and may, therefore, operate as a server.
- devices capable of operating as a server may include, as examples, dedicated rack-mounted servers, desktop computers, laptop computers, set top boxes, integrated devices combining various features, such as two or more features of the foregoing devices, or the like.
- Servers may vary widely in configuration or capabilities, but generally a server may include one or more central processing units and memory.
- a server may also include one or more mass storage devices, one or more power supplies, one or more wired or wireless network interfaces, one or more input/output interfaces, or one or more operating systems, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, or the like.
- a client (or consumer or user) device may include a computing device capable of sending or receiving signals, such as via a wired or a wireless network.
- a client device may, for example, include a desktop computer or a portable device, such as a cellular telephone, a smart phone, a display pager, a radio frequency (RF) device, an infrared (IR) device an Near Field Communication (NFC) device, a Personal Digital Assistant (PDA), a handheld computer, a tablet computer, a laptop computer, a set top box, a wearable computer, an integrated device combining various features, such as features of the forgoing devices, or the like.
- RF radio frequency
- IR infrared
- NFC Near Field Communication
- PDA Personal Digital Assistant
- a client device may vary in terms of capabilities or features. Claimed subject matter is intended to cover a wide range of potential variations.
- a mobile device may include a numeric keypad or a display of limited functionality, such as a monochrome liquid crystal display (LCD) for displaying text.
- a web-enabled client device may include one or more physical or virtual keyboards, mass storage, one or more accelerometers, one or more gyroscopes, global positioning system (GPS) or other location-identifying type capability, or a display with a high degree of functionality, such as a touch-sensitive color 2D or 3D display, for example.
- GPS global positioning system
- a client device may include or may execute a variety of operating systems, including a personal computer operating system, such as a Windows, iOS or Linux, or a mobile operating system, such as iOS, Android, or Windows Mobile, or the like.
- a client device may include or may execute a variety of possible applications, such as a client software application enabling communication with other devices, such as communicating one or more messages.
- the client device, mobile device, or wireless communication device, in accordance with the disclosure may be a portable or mobile telephone including smart phones, a Personal Digital Assistant (PDA), a wireless video or multimedia device, a portable computer, an embedded communication processor or similar wireless communication device.
- PDA Personal Digital Assistant
- the communication device will be referred to generally as User Equipment (UE) for illustrative purposes and it is not intended to limit the disclosure to any particular type of communication device.
- UE User Equipment
- Certain modern handheld electronic devices (UE) comprise the necessary components to connect to a cellular network, such as a 2G, 2.5G, 3G, and/or LTE network, and the necessary components to connect to a non-cellular IP Connectivity Access Network (IP CAN) such as a wireless LAN network (e.g. IEEE 802.1 la/b/g/n) or a wired LAN network (e.g. IEEE 802.3).
- IP CAN IP Connectivity Access Network
- the mapping of three orthogonal accelerations of drill pipe into motions of the drill string and the 2D/3D visualization of the drill-string motions enable real-time optimization and control of well drilling operations.
- the proposed invention is not limited to the nature of drilling data and it may be applied to other problems as well where proactive detection of temporal events in automated systems may aid in avoiding failures.
- the continuous drill-string position using three-orthogonal accelerations is:
- P(x, y, z, t) is a position vector in a global stationary coordinate frame referenced at the center of the drill string
- a(x, y, z, t) is an acceleration vector in a global stationary coordinate frame referenced at the center of the drill string
- t is the travel time of the drill-string motion
- dt is the time interval the drill string moves from P(x, y, z, t) to P(x, y, z, t+dt).
- Equation 1 Equation 1 becomes:
- FIG. 1 provides a vector representation 101 of circular drill string positions.
- the recorded acceleration data include both the earth's gravitational and centripetal accelerations. Both accelerations should be accounted for before applying equation 2. Since the exact locations and orientations of the downhole tri-axial accelerometers at a particular instance of time are difficult to obtain because of buckling and bending of the drill string, it is extremely challenging to estimate the exact gravitational and centripetal accelerations as a position of drilling depth.
- This invention employs a simple, but effective method to correct both gravitational and centripetal accelerations. It approximates both corrections by a local running mean of the acceleration data. After removing the local running mean, the acceleration data yield the measurements due to the vibration only. Although this is an approximate solution, it works well in practice.
- Equation 2 also requires the acceleration data to be in a stationary coordinate frame.
- the tri-axial accelerometers are mounted on the drill string.
- the tri- axial accelerometers are rotating with the drill string.
- the recorded acceleration data are in a local rotating coordinate frame. It is necessary to transform from the local rotating coordinate frame to a global stationary coordinate frame.
- the tri-axial accelerometers are rigidly mounted on the drill string, the axial acceleration in the local rotating coordinate frame is equivalent to a stationary coordinate frame.
- the coordinate transformation reduces to a 2-D rotation in X-Y plane.
- FIG. 2 illustrates the transformation of acceleration data from a local moving coordinate frame to a global stationary coordinate frame.
- a conventional approach to estimate the rotational angle ⁇ uses the vector dot product between acceleration vectors ax and ar.
- ⁇ is angular velocity of downhole RPM at a particular instance of time
- 5t is the time interval the drill string moves from P(x, y, z, t) to P(x, y, z ,t+dt).
- a vector cross product can be used to estimate the missing component.
- the vector cross product of radial acceleration and axial accelerations estimates the tangential acceleration.
- FIGs 3-8 illustrate two examples of the present invention by illustrating, or mapping, irregular drill string motions due to vibration.
- input data is presented, including data channel 1 - axial vibration 301, representing axial acceleration; data channel 2 - down-hole rotations per minute (RPM) 302; data channel 3 - polar radial vibration 303, representing the polar coordinates of radial acceleration; and data channel 4 - labelled as polar tangential vibration 304, represent the polar coordinates of tangential acceleration.
- Data channel 5 presents measured hole depth 305.
- the mapping of tri-axial accelerations into drill-string motions consists of 3 key steps: (1) it approximates the gravitational and centripetal accelerations by a local running mean of the acceleration data and removes the local running mean to yield the acceleration measurements due to the vibration only, (2) it transforms the corrected acceleration data from a local rotating coordinate frame to a global stationary coordinate frame using equation 3, and (3) it maps the acceleration data into continuous drill-string positions via equation 2.
- FIG. 4 illustrates the first 500 points of the input data of FIG 3 in a 3D view 401.
- the o- lines 403 are ideal drill-string motions without dysfunction.
- the x-lines 404 are actual drill-string motions observed - the input data, having drilling dysfunction.
- FIG. 5 illustrates a map view of the first 500 points of the input data of FIG 3. Similar to FIG. 4, FIG. 5 depicts the o- lines 504 as representing ideal drill-string motions, without dysfunction, whereas the x-lines 502 are actual drill-string motions with drilling dysfunction.
- input data is presented, including data channel 1 - axial vibration 601, representing axial acceleration; data channel 2 - radial vibration, representing the radial acceleration 602; data channel 3 - down-hole RPM 603. Hole depth is also measured in data channel 5 604.
- the processing steps mapping bi-axial accelerations into drill-string motions are the same as the first data example, except that it includes an additional step that uses a cross product of axial and the radial accelerations to estimate tangential acceleration.
- FIG. 7 illustrates the first 500 points of the input data of FIG 6 in a 3D view.
- the o-lines 702 are ideal drill-string motions without dysfunction.
- the x-lines 703 are actual drill-string motions observed - the input data, having drilling dysfunction.
- FIG. 8 illustrates a map view of the first 500 points of the input data of FIG 6. Similar to FIG. 7, FIG. 8 depicts the o- lines 802 as representing ideal drill-string motions, without dysfunction, whereas the x-lines 801 are actual drill-string motions with drilling dysfunction.
Landscapes
- Engineering & Computer Science (AREA)
- Geology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Fluid Mechanics (AREA)
- Environmental & Geological Engineering (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics (AREA)
- Earth Drilling (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- General Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Numerical Control (AREA)
- Debugging And Monitoring (AREA)
Priority Applications (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA2985658A CA2985658C (en) | 2015-05-14 | 2016-05-12 | System and method for determining drill string motions using acceleration data |
MYPI2017704286A MY185589A (en) | 2015-05-14 | 2016-05-12 | System and method for determining drill string motions using acceleration data |
AU2016262077A AU2016262077B2 (en) | 2015-05-14 | 2016-05-12 | System and method for determining drill string motions using acceleration data |
CN201680040997.0A CN107850686B (zh) | 2015-05-14 | 2016-05-12 | 用于使用加速度数据来确定钻柱运动的系统和方法 |
EP16793532.9A EP3295219B1 (en) | 2015-05-14 | 2016-05-12 | System and method for determining drill string motions using acceleration data |
CONC2017/0012742A CO2017012742A2 (es) | 2015-05-14 | 2017-12-12 | Sistema y método para determinar los movimientos de una sarta de perforación utilizando datos de aceleración |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201562161370P | 2015-05-14 | 2015-05-14 | |
US62/161,370 | 2015-05-14 | ||
US15/153,073 US10227865B2 (en) | 2015-05-14 | 2016-05-12 | System and method for determining drill string motions using acceleration data |
US15/153,073 | 2016-05-12 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2016183329A1 true WO2016183329A1 (en) | 2016-11-17 |
Family
ID=57248620
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2016/032118 WO2016183329A1 (en) | 2015-05-14 | 2016-05-12 | System and method for determining drill string motions using acceleration data |
Country Status (6)
Country | Link |
---|---|
US (2) | US10227865B2 (es) |
AU (1) | AU2016262077B2 (es) |
CA (1) | CA2985658C (es) |
CO (1) | CO2017012742A2 (es) |
MY (1) | MY185589A (es) |
WO (1) | WO2016183329A1 (es) |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2985648C (en) | 2015-05-13 | 2023-10-10 | Conocophillips Company | Power loss dysfunction characterization |
AU2016262077B2 (en) | 2015-05-14 | 2021-08-26 | Conocophillips Company | System and method for determining drill string motions using acceleration data |
AU2016278985B2 (en) | 2015-06-18 | 2021-02-04 | Conocophillips Company | Characterization of whirl drilling dysfunction |
EP3320177B1 (en) | 2015-07-09 | 2022-11-02 | ConocoPhillips Company | Rock strength and in-situ stresses from drilling response |
US10983507B2 (en) | 2016-05-09 | 2021-04-20 | Strong Force Iot Portfolio 2016, Llc | Method for data collection and frequency analysis with self-organization functionality |
US10712738B2 (en) | 2016-05-09 | 2020-07-14 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for industrial internet of things data collection for vibration sensitive equipment |
US11327475B2 (en) | 2016-05-09 | 2022-05-10 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for intelligent collection and analysis of vehicle data |
US11774944B2 (en) | 2016-05-09 | 2023-10-03 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for the industrial internet of things |
US11237546B2 (en) | 2016-06-15 | 2022-02-01 | Strong Force loT Portfolio 2016, LLC | Method and system of modifying a data collection trajectory for vehicles |
CA3072045A1 (en) | 2017-08-02 | 2019-02-07 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for detection in an industrial internet of things data collection environment with large data sets |
US10921801B2 (en) | 2017-08-02 | 2021-02-16 | Strong Force loT Portfolio 2016, LLC | Data collection systems and methods for updating sensed parameter groups based on pattern recognition |
USD868801S1 (en) * | 2018-02-13 | 2019-12-03 | Conocophillips Company | Display screen or portion thereof with a graphical user interface |
CA3092875C (en) | 2018-03-23 | 2024-04-23 | Conocophillips Company | Virtual downhole sub |
CN108717201B (zh) * | 2018-06-20 | 2019-10-25 | 成都理工大学 | 一种隧道围岩微震源定位方法 |
CN116427909B (zh) * | 2023-06-12 | 2023-09-19 | 四川圣诺油气工程技术服务有限公司 | 基于垂直钻井系统的井斜方位测定方法 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040124837A1 (en) * | 1998-01-16 | 2004-07-01 | Numar | Method and apparatus for nuclear magnetic resonance measuring while drilling |
US20060225921A1 (en) * | 1997-04-16 | 2006-10-12 | Mercer John E | Mapping tool for tracking and/or guiding an underground boring tool |
US20090229819A1 (en) * | 2008-03-14 | 2009-09-17 | Schlumberger Technlogy Corporation | Visualization techniques for oilfield operations |
US20130151158A1 (en) * | 2011-12-12 | 2013-06-13 | Andrew G. Brooks | Utilization of dynamic downhole surveying measurements |
US20130248247A1 (en) * | 2011-11-10 | 2013-09-26 | Schlumberger Technology Corporation | Downhole whirl detection while drilling |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2406344B (en) * | 2003-07-01 | 2007-01-03 | Pathfinder Energy Services Inc | Drill string rotation encoding |
US7596481B2 (en) | 2004-03-16 | 2009-09-29 | M-I L.L.C. | Three-dimensional wellbore analysis and visualization |
AU2009222482B2 (en) * | 2008-09-30 | 2012-03-22 | Percision Energy Service, Inc. | Downhole drilling vibration analysis |
US20130049981A1 (en) | 2011-08-31 | 2013-02-28 | Baker Hughes Incorporated | Drilling dynamics data visualization in real time |
US9410377B2 (en) | 2012-03-16 | 2016-08-09 | Baker Hughes Incorporated | Apparatus and methods for determining whirl of a rotating tool |
AU2016262077B2 (en) | 2015-05-14 | 2021-08-26 | Conocophillips Company | System and method for determining drill string motions using acceleration data |
-
2016
- 2016-05-12 AU AU2016262077A patent/AU2016262077B2/en active Active
- 2016-05-12 CA CA2985658A patent/CA2985658C/en active Active
- 2016-05-12 WO PCT/US2016/032118 patent/WO2016183329A1/en active Application Filing
- 2016-05-12 MY MYPI2017704286A patent/MY185589A/en unknown
- 2016-05-12 US US15/153,073 patent/US10227865B2/en active Active
-
2017
- 2017-12-12 CO CONC2017/0012742A patent/CO2017012742A2/es unknown
-
2019
- 2019-01-28 US US16/259,677 patent/US10655453B2/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060225921A1 (en) * | 1997-04-16 | 2006-10-12 | Mercer John E | Mapping tool for tracking and/or guiding an underground boring tool |
US20040124837A1 (en) * | 1998-01-16 | 2004-07-01 | Numar | Method and apparatus for nuclear magnetic resonance measuring while drilling |
US20090229819A1 (en) * | 2008-03-14 | 2009-09-17 | Schlumberger Technlogy Corporation | Visualization techniques for oilfield operations |
US20130248247A1 (en) * | 2011-11-10 | 2013-09-26 | Schlumberger Technology Corporation | Downhole whirl detection while drilling |
US20130151158A1 (en) * | 2011-12-12 | 2013-06-13 | Andrew G. Brooks | Utilization of dynamic downhole surveying measurements |
Also Published As
Publication number | Publication date |
---|---|
CA2985658A1 (en) | 2016-11-17 |
MY185589A (en) | 2021-05-24 |
CO2017012742A2 (es) | 2018-01-05 |
US10655453B2 (en) | 2020-05-19 |
AU2016262077B2 (en) | 2021-08-26 |
US10227865B2 (en) | 2019-03-12 |
CA2985658C (en) | 2023-01-03 |
AU2016262077A1 (en) | 2017-12-07 |
US20160334306A1 (en) | 2016-11-17 |
US20190153855A1 (en) | 2019-05-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10655453B2 (en) | System and method for determining drill string motions using acceleration data | |
JP2020536187A (ja) | 坑井穴の非回収型検知システム | |
EP3310997B1 (en) | Characterization of whirl drilling dysfunction | |
Oueslati et al. | The need for high-frequency vibration measurement along with dynamics modeling to understand the genesis of PDC bit damage | |
US10976185B2 (en) | Sensor array noise reduction | |
CN105940182A (zh) | 在钻井操作期间使用套管磨损图来进行的套管磨损的估计和监测 | |
US9513396B2 (en) | Formation property determination apparatus, methods, and systems | |
NO20180715A1 (en) | Multiple downhole sensor digital alignment using spatial transforms | |
Akimov et al. | Evolution of Drilling Dynamics Measurement Systems | |
US11321506B2 (en) | Fast algorithm to simulate the response of PDC bits | |
Park et al. | Underground localization using dual magnetic field sequence measurement and pose graph SLAM for directional drilling | |
EP3295219B1 (en) | System and method for determining drill string motions using acceleration data | |
AU2012397811B2 (en) | Measurement correction apparatus, methods, and systems | |
US10472955B2 (en) | Method of providing continuous survey data while drilling | |
EP2875331A1 (en) | Sensor characterization apparatus, methods, and systems | |
CN107850917A (zh) | 使用流信号的事件检测的系统和方法 | |
Soroush | Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 16793532 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 2985658 Country of ref document: CA |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 2016262077 Country of ref document: AU Date of ref document: 20160512 Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: NC2017/0012742 Country of ref document: CO |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2016793532 Country of ref document: EP |